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Read Feishu Doc

Community
SpaceZephyr
read-feishu-doc

Read and extract content from Feishu (Lark) documents using the official Feishu Open API

Overview

PublisherSpaceZephyr
Repositoryread-buddy
Skill nameread-feishu-doc
Stars
85
Forks
25
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by SpaceZephyr on GitHub. Read the source before you install it.

Installation

Install the Read Feishu Doc AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/SpaceZephyr/read-buddy/tree/main/read-feishu-doc
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/SpaceZephyr/read-buddy.git /tmp/read-buddy
mkdir -p .claude/skills
cp -r /tmp/read-buddy/read-feishu-doc .claude/skills/read-feishu-doc
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Read Feishu Doc in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Read Feishu Doc on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Read Feishu Doc is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Feishu Document Reader

This skill enables reading and extracting content from Feishu (Lark) documents using the official Feishu Open API.

Configuration

Set Up the Skill

  1. Create the configuration file at ./reference/feishu_config.json with your Feishu app credentials:
json
{
  "app_id": "your_feishu_app_id_here",
  "app_secret": "your_feishu_app_secret_here"
}
  1. Make sure the scripts are executable:
bash
chmod +x scripts/read_doc.sh
chmod +x scripts/get_blocks.sh

Security Note: The configuration file should be kept secure and not committed to version control. Consider using proper file permissions (chmod 600 ./reference/feishu_config.json).

Usage

Basic Document Reading

To read a Feishu document, you need the document token (found in the URL: https://example.feishu.cn/docx/DOC_TOKEN).

Using the shell script (recommended):

bash
# Make sure environment variables are set first
./scripts/read_doc.sh "your_doc_token_here"

# Or specify document type explicitly
./scripts/read_doc.sh "docx_token" "doc"
./scripts/read_doc.sh "sheet_token" "sheet"

Get Detailed Document Blocks (NEW)

For complete document structure with all blocks, use the dedicated blocks script:

bash
# Get full document blocks structure
./scripts/get_blocks.sh "docx_AbCdEfGhIjKlMnOpQrStUv"

# Get specific block by ID
./scripts/get_blocks.sh "docx_token" "block_id"

# Get blocks with children
./scripts/get_blocks.sh "docx_token" "" "true"

Using Python directly for blocks:

bash
python scripts/get_feishu_doc_blocks.py --doc-token "your_doc_token_here"
python scripts/get_feishu_doc_blocks.py --doc-token "docx_token" --block-id "block_id"
python scripts/get_feishu_doc_blocks.py --doc-token "docx_token" --include-children

Supported Document Types

  • Docx documents (new Feishu docs): Full content extraction with blocks, metadata, and structure
  • Doc documents (legacy): Basic metadata and limited content
  • Sheets: Full spreadsheet data extraction with sheet navigation
  • Slides: Basic metadata (content extraction requires additional permissions)

Features

Enhanced Content Extraction

  • Structured output: Clean JSON with document metadata, content blocks, and hierarchy
  • Complete blocks access: Full access to all document blocks including text, tables, images, headings, lists, etc.
  • Block hierarchy: Proper parent-child relationships between blocks
  • Text extraction: Automatic text extraction from complex block structures
  • Table support: Proper table parsing with row/column structure
  • Image handling: Image URLs and metadata extraction
  • Link resolution: Internal and external link extraction

Block Types Supported

  • text: Plain text and rich text content
  • heading1/2/3: Document headings with proper hierarchy
  • bullet/ordered: List items with nesting support
  • table: Complete table structures with cells and formatting
  • image: Image blocks with tokens and metadata
  • quote: Block quotes
  • code: Code blocks with language detection
  • equation: Mathematical equations
  • divider: Horizontal dividers
  • page: Page breaks (in multi-page documents)

Error Handling & Diagnostics

  • Detailed error messages: Clear explanations for common issues
  • Permission validation: Checks required permissions before making requests
  • Token validation: Validates document tokens before processing
  • Retry logic: Automatic retries for transient network errors
  • Rate limiting: Handles API rate limits gracefully

Security Features

  • Secure credential storage: Supports both environment variables and secure file storage
  • No credential logging: Credentials never appear in logs or output
  • Minimal permissions: Uses only required API permissions
  • Access token caching: Efficient token reuse to minimize API calls

Command Line Options

Main Document Reader

bash
# Python script options
python scripts/read_feishu_doc.py --help

# Shell script usage
./scripts/read_doc.sh <doc_token> [doc|sheet|slide]

Blocks Reader (NEW)

bash
# Get full document blocks
./scripts/get_blocks.sh <doc_token>

# Get specific block
./scripts/get_blocks.sh <doc_token> <block_id>

# Include children blocks
./scripts/get_blocks.sh <doc_token> "" true

# Python options
python scripts/get_feishu_doc_blocks.py --help

API Permissions Required

Your Feishu app needs the following permissions:

  • docx:document:readonly - Read document content
  • doc:document:readonly - Read legacy document content
  • sheets:spreadsheet:readonly - Read spreadsheet content

Error Handling

Common errors and solutions:

  • 403 Forbidden: Check app permissions and document sharing settings
  • 404 Not Found: Verify document token is correct and document exists
  • Token expired: Access tokens are valid for 2 hours, refresh as needed
  • App ID/Secret invalid: Double-check your credentials in Feishu Open Platform
  • Insufficient permissions: Ensure your app has the required API permissions
  • 99991663: Application doesn't have permission to access the document
  • 99991664: Document doesn't exist or has been deleted
  • 99991668: Token expired, need to refresh

Examples

Extract document with full structure

bash
# Read document
./scripts/read_doc.sh "docx_AbCdEfGhIjKlMnOpQrStUv"

Get complete document blocks (NEW)

bash
# Get all blocks with full structure
./scripts/get_blocks.sh "docx_AbCdEfGhIjKlMnOpQrStUv"

# Get specific block details
./scripts/get_blocks.sh "docx_AbCdEfGhIjKlMnOpQrStUv" "blk_xxxxxxxxxxxxxx"

Process spreadsheet data

bash
./scripts/read_doc.sh "sheet_XyZ123AbCdEfGhIj" "sheet"

Extract only text content (Python script)

bash
python scripts/read_feishu_doc.py --doc-token "docx_token" --extract-text-only

Security Notes

  • Never commit credentials: Keep app secrets out of version control
  • Use minimal permissions: Only request permissions your use case requires
  • Secure file permissions: Set proper file permissions on secret files (chmod 600)
  • Environment isolation: Use separate apps for development and production
  • Audit access: Regularly review which documents your app can access

Troubleshooting

Authentication Issues

  1. Verify your App ID and App Secret in Feishu Open Platform
  2. Ensure the app has been published with required permissions
  3. Check that environment variables or config files are properly set
  4. Test with the test_auth.py script to verify credentials

Document Access Issues

  1. Ensure the document is shared with your app or in an accessible space
  2. Verify the document token format (should start with docx_, doc_, or sheet_)
  3. Check if the document requires additional sharing permissions

Network Issues

  1. Ensure your server can reach open.feishu.cn
  2. Check firewall rules if running in restricted environments
  3. The script includes retry logic for transient network failures

Blocks-Specific Issues

  1. Empty blocks response: Document might be empty or have no accessible blocks
  2. Missing block types: Some block types require additional permissions
  3. Incomplete hierarchy: Use --include-children flag for complete block tree

References

Frequently asked questions

What does the Read Feishu Doc AI skill do?

Read and extract content from Feishu (Lark) documents using the official Feishu Open API

Why use Read Feishu Doc on TypingMind?

Because you install it once and use it with any model. Read Feishu Doc is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Read Feishu Doc in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SpaceZephyr/read-buddy/tree/main/read-feishu-doc. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Read Feishu Doc?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Read Feishu Doc?

As many as you like. As long as a model supports skills, you can use Read Feishu Doc with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Read Feishu Doc AI skill free?

It is published on GitHub by SpaceZephyr. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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